Searching for hidden literature using iris.ai, your new research assistant!
Iris.ai helps students and researchers make discoveries faster by shaving up to 90% off of the time required to conduct a typical literature review!
The University of Oslo Library prides itself on ensuring we are preparing our students for the new digital era with the most innovative technology and advanced educational resources available.
To further this mission, we’ve partnered with Iris.ai to offer their full suite of tools. Iris.ai helps students and researchers make discoveries faster by shaving up to 90% off of the time required to conduct a typical literature review.
Iris.ai uses Natural Language Understanding and an advanced document similarity algorithm to understand any research paper or written problem statement and generate a visual map of related, open access research available to students to help them further explore their topic of interest. Then, using Iris.ai’s own concept generation abilities, narrow down a large list of potential papers to a narrow and specific reading list in a fraction of the time usually required by traditional academic search tools.
The WORKSHOP will introduce the participants to this new tool, using their own research questions.
9:00-9:45 Introduction to iris.ai
10:00 – 10:45 Each participants work with their own inquiry. Four library staff members will be present and help you.
11:00 – 11:45 The participants will present their own results and we test together other search tools
With Iris.ai, students and researchers will be able to search faster, discover more, and move forward to make their unique impact on the world even faster!
The learning outcomes of the WORKSHOP will be the ability to use iris.ai. In addition, the participants will have the start of a literature search based on their own research questions.
Please bring with you a laptop.
Researchers working with audio data, for example, musicologists, linguists, media scientists; but others I haven't thought of such as physicists, chemists. It is important to note that I will not be covering the linguistic or phonological extraction aspects of speech corpora, this will be focused on audio analysis related tool kits.